Questions: Question 6 of 16 (1 point) Question Attempt 1 of Unlimited Fifteen items or less: The number of customers in line at a supermarket express checkout counter is a random variable with the following probability distribution. x 0 1 2 3 4 5 P(x) 0.05 0.25 0.30 0.20 0.15 0.05 Part 1 of 4 (a) Find P(3). P(3)=

Question 6 of 16 (1 point) Question Attempt 1 of Unlimited

Fifteen items or less: The number of customers in line at a supermarket express checkout counter is a random variable with the following probability distribution.
x  0  1  2  3  4  5
P(x)  0.05  0.25  0.30  0.20  0.15  0.05

Part 1 of 4
(a) Find P(3).
P(3)=
Transcript text: Question 6 of 16 (1 point) I Question Attempt 1 of Unlimited Fifteen items or less: The number of customers in line at a supermarket express checkout counter is a random variable with the following probability distribution. \begin{tabular}{c|cccccc} $x$ & 0 & 1 & 2 & 3 & 4 & 5 \\ \hline$P(x)$ & 0.05 & 0.25 & 0.30 & 0.20 & 0.15 & 0.05 \end{tabular} Part 1 of 4 (a) Find $P(3)$. \[ P(3)= \]
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Solution

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Solution Steps

Step 1: Calculate \( P(3) \)

The probability of having 3 customers in line at the supermarket express checkout counter is given by:

\[ P(3) = 0.20 \]

Step 2: Calculate the Mean

The mean (expected value) of the distribution is calculated as follows:

\[ \text{Mean} = E(X) = \sum_{x=0}^{5} x \cdot P(x) = 0 \times 0.05 + 1 \times 0.25 + 2 \times 0.30 + 3 \times 0.20 + 4 \times 0.15 + 5 \times 0.05 = 2.3 \]

Step 3: Calculate the Variance

The variance \( \sigma^2 \) is calculated using the formula:

\[ \text{Variance} = \sigma^2 = \sum_{x=0}^{5} (x - \text{Mean})^2 \cdot P(x) = (0 - 2.3)^2 \times 0.05 + (1 - 2.3)^2 \times 0.25 + (2 - 2.3)^2 \times 0.3 + (3 - 2.3)^2 \times 0.2 + (4 - 2.3)^2 \times 0.15 + (5 - 2.3)^2 \times 0.05 = 1.61 \]

Step 4: Calculate the Standard Deviation

The standard deviation \( \sigma \) is the square root of the variance:

\[ \text{Standard Deviation} = \sigma = \sqrt{\sigma^2} = \sqrt{1.61} \approx 1.269 \]

Final Answer

\[ \boxed{P(3) = 0.2, \text{ Mean} = 2.3, \text{ Variance} = 1.61, \text{ Standard Deviation} \approx 1.269} \]

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